Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model

The aim of this paper is to optimize the thermal performance (system output energy, thermal efficiency, and heat loss of cavity absorber) of parabolic trough solar collector (PTC) systems in order to improve its thermal performance, based on the genetic algorithm-back propagation (GA-BP) neural network model. There are a number of undefined problems, fuzzy or incomplete information and a complex thermal performance of the PTC systems. Therefore, the thermal performance prediction of the PTC systems based on GA-BP neural network model was developed. Subsequently, the metrics performances have been adopted to comprehensively understand the algorithm and evaluate the prediction accuracy. Results revealed that the GA-BP neural network model can be successfully used to predict the complex nonlinear relationship between the input variables and thermal performance of the PTC systems. The cosine effect has a great influence on the thermal performance; thereby the geometrical structure of the PTC systems was optimized. It was found that the optimized geometrical structure was beneficial to improve the thermal performance of the PTC system. In conclusion, the GA-BP neural network model has higher prediction accuracy than the other algorithm and it can be feasible and reliable.     

Starting improvement of micro-wind turbines operating in low wind speed regions

The study deals with the design and optimization of external and internal geometry of micro-wind turbines blades. A specified objective function which consists of the power coefficient and the starting time was defined and the genetic algorithm optimization technique in conjunction with the blade-element momentum theory was adopted to find the geometry of the blades including the distributions of the chord, the twist angle and also the shell thickness. Moreover, the allowable stress of the blades was considered as a constraint to the objective function. Results show that a reasonable compromise is achievable such that the starting time of the blades reduces noticeably in return for a small drop in the power coefficient. The significant improvement of the hollow blades over the solid ones indicates that the power coefficient and the starting performance could be improved through the appropriate distributions of the considered decision variables, i.e. the chord, the twist angle and also the shell thickness.     

Optimization of pretreatment conditions for enhanced sugar release

Present investigation was done to evaluate various algal genera found in water bodies of Varanasi city. The potential of any biomass for biofuels (bioalcohols, biohydrogen, etc.) production depends on the quantity of extractable sugar present in it. Acid (H₂SO₄) and alkali (NaOH) pretreatment were performed, and H₂SO₄ was chosen due to its nearly double yield as compared with alkaline pretreatment. Response surface methodology was utilized for the optimization of operating parameters such as treatment temperature, time, and acid concentration. Sugar yield up to 0.33 g/g of dry biomass was obtained using cyanobacterial biomass of Lyngbya limnetica, at 100°C, 59.19 min, and H₂SO₄ concentration of 1.63 M.     

洪涝灾害后区域水环境中污染物迁移转化控制研究

洪涝灾害发生后,大量洪水会携带污水与各类垃圾,以及形成的径流冲刷,将导致水体中的污染物明显增加,严重破坏生态环境.以多环芳烃为例进行了洪涝灾害后区域水环境中污染物迁移转化控制研究,分析污染物吸附机理,分别建立吸附动力学方程与等温线模型,确定污染物在挥发去除作用中的速度,计算挥发损失程度;并结合对流作用、分子扩散、放射性...     

哑铃桩模型试验与承载力计算方法研究

对自主研发的哑铃桩进行了系列试验和理论分析。通过与不同截面形式的桩进行承载性能试验对比,分析了存在顶盘、扩头情况下的哑铃桩与传统单桩等桩型在不同外力荷载作用下的承载力差异,及其与桩端受力、荷载沉降等的关系。研究表明,本文模型试验中,周围填土是砂的条件下,哑铃桩桩端阻力分担了绝大部分的桩顶荷载,可把哑铃桩视作端承桩进行设计,其承载力较之其它桩型显著提高,且在达到桩基极限承载力时,其所对应的桩顶沉降较之普通预制桩明显减小。此外,还针对哑铃桩的构造特点提出了哑铃桩承载力计算公式,并通过与试验数据的对比,验证了其合理性。     

长江流域的空间结构研究

在认识空间结构内涵与确定研究范围的基础上,运用主成分和聚类分析方法,获得了长江流域的空间分异状况。长江流域空间结构符合核心 边缘结构模式,包括3个一级核心、8个二级核心、两大跨省成长三角、1条主轴、2条辅轴、3条地方轴、1个外围区和1个边缘区。长江流域空间结构的演变,经历了低水平的离散型阶段、极化发展的非均衡阶段、扩散的多核非均衡阶段,未来将向区域一体化的高水平均衡阶段发展。从聚散原理、空间相互作用和国家宏观区域发展战略等3方面,分析了长江流域空间结构的演变机制。长江流域空间结构的优化,要从内部要素与外部力量两方面入手做3件事情。一要加快单个节点的发展和尽快形成核心区域,尤其是上游地区要构建一个以成渝为双核的兼顾南北较大范围的成长多边形;二要加快东西通道的建设和注重主轴与辅轴间的连接通道的构建或完善;三要注重基于市场一体化的区域空间治理体制的创新.     

城市景观生态网络规划的空间模式应用探讨

城市景观生态网络空间模式研究是生态城市和景观规划设计现今研究的重要领域之一,目的在于依据景观生态网络模式的应用建立起生态城市规划建设的基本框架和技术途径。在探讨城市景观生态系统特征和城市景观生态网络结构的基础上,总结景观生态网络空间模式并重点分析了水景树的空间生态模式、森林 道路 住宅复合网络模式、平原城市农田 灌木丛 河流交叉网络模式、岛屿城市的绿地 道路生态网络模式4种城市景观生态网络典型模式的图示特征及其生态意义。依此为理论指导基础,以都江堰为例,在继承都江堰大地景观格局并结合都江堰市灾后重建需求的前提下,研究都江堰市城市景观生态格局和生态过程,探讨在不同尺度和不同维度上运用4种网络图示进行都江堰城市景观生态网络优化调整的空间模式和对策。(1)依据“水景树图式”优化调整纵向维度景观生态格局;(2)依据“森林 道路 住宅”和“农田 灌木丛 河流”网络调整横向维度景观生态格局;(3)依据岛屿城市的“绿地 道路”景观生态网络调整城市组团景观生态格局.     

Legalizing markets and the consequences for poaching of wildlife species: the vicuña as a case study

Vicuña provide an excellent case study for examining the sustainable use of wildlife outside protected areas: the community-based conservation approach. Vicuña populations in the high Andes of Argentina, Bolivia, Chile, Ecuador and Perú fell to a critically low level, but a Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) ban on trade in their fiber has seen numbers recover dramatically, and now live shearing of vicuña for a high-value international market is being promoted as a mechanism to secure both sustainable vicuña populations and local livelihoods. We used a dynamic optimization model to explore the consequences of legalizing markets, including the consequences for poaching which is critical in vicuña dynamics. Using parameters obtained from the literature and expert knowledge, we explored different scenarios for the Argentine region of Cieneguillas. Our results showed that the role of the international market is ambiguous; live shearing for an international market can provide the very best of outcomes for both vicuña and local people, with large herds generating high revenues. But an international market also creates a market for poached vicuña fiber; as a result, vicuña numbers risk once again falling to critically low levels, resulting also in minimal revenues from sale of fiber. The message for the international community is that if community-based conservation is not implemented carefully then its impact can easily be perverse.     

海洋石油污染处理方法优化配置及具体案例应用

海洋石油污染成为海洋污染的主要类型,对海洋水生环境造成了极大的破坏,而溢油成为石油进入海洋的主要方式,如何对溢油事故进行有效的预防和处理成为治理海洋污染的关键所在.本文对当今处理溢油使用的物理法、化学法、自然降解法、生物处理法、燃烧法等进行了介绍,详细考察了各种处理方法的适用条件,以及在限制条件下如何对各种选择方法进行优化组合.文章同时对"11.14"重大船舶溢油污染事故实际案例进行了分析,用优化组合后的方法进行处理,处理效果明显.     

An Inexact Fuzzy-robust Two-stage Programming Model for Managing Sulfur Dioxide Abatement Under Uncertainty

In this study, an inexact fuzzy-robust two-stage programming (IFRTSP) method is developed for tackling multiple forms of uncertainties that can be expressed as discrete intervals, probabilistic distributions and/or fuzzy membership functions. The model can reflect economic penalties of corrective measures against any infeasibilities arising due to a particular realization of system uncertainties. Moreover, the fuzzy decision space can be delimited into a more robust one with the uncertainties being specified through dimensional enlargement of the original fuzzy constraints. A management problem in terms of regional air pollution control has been studied to illustrate the applicability of the proposed approach. Results indicate that useful solutions for planning the air quality management practices have been generated. They can help decision makers identify desired pollution-abatement strategy with minimized system cost and maximized environmental efficiency.